Applied Numerical Python: Deep Dive into NumPy, SciPy, and Matplotlib for Advanced Numerical Analysis and Data Visualization
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- Compatible avec une lecture sur My Vivlio (smartphone, tablette, ordinateur)
- Compatible avec une lecture sur liseuses Vivlio
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- FormatePub
- ISBN8231662739
- EAN9798231662739
- Date de parution16/06/2025
- Protection num.pas de protection
- Infos supplémentairesepub
- ÉditeurWalzone Press
Résumé
Readers will learn foundational and advanced techniques for numerical analysis, including linear algebra, optimization, differential equations, and statistical modeling. The book also covers best practices in data processing, machine learning, code optimization, and reproducibility, ensuring readers can tackle real-world problems across domains such as engineering, data science, and research. Each chapter is structured with practical examples, clear explanations, and modern workflows, making complex concepts accessible and actionable.
Whether you are building simulations, analyzing large datasets, or visualizing complex results, this book equips you with the skills and confidence to leverage Python's full potential for scientific computing and advanced data analysis
Readers will learn foundational and advanced techniques for numerical analysis, including linear algebra, optimization, differential equations, and statistical modeling. The book also covers best practices in data processing, machine learning, code optimization, and reproducibility, ensuring readers can tackle real-world problems across domains such as engineering, data science, and research. Each chapter is structured with practical examples, clear explanations, and modern workflows, making complex concepts accessible and actionable.
Whether you are building simulations, analyzing large datasets, or visualizing complex results, this book equips you with the skills and confidence to leverage Python's full potential for scientific computing and advanced data analysis